Depth of lesion model in children and adolescents with moderate to severe traumatic brain injury: use of SPGR MRI to predict severity and outcome

Citation
Ma. Grados et al., Depth of lesion model in children and adolescents with moderate to severe traumatic brain injury: use of SPGR MRI to predict severity and outcome, J NE NE PSY, 70(3), 2001, pp. 350-358
Citations number
46
Categorie Soggetti
Neurology,"Neurosciences & Behavoir
Journal title
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
ISSN journal
00223050 → ACNP
Volume
70
Issue
3
Year of publication
2001
Pages
350 - 358
Database
ISI
SICI code
0022-3050(200103)70:3<350:DOLMIC>2.0.ZU;2-A
Abstract
Objectives-The utility of a depth of lesion classification using an SPGR MR I sequence in children with moderate to severe traumatic brain injury (TBI) was examined. Clinical and depth of lesion classification measures of TBI severity were used to predict neurological and functional outcome after TBI . Methods-One hundred and six children, aged 4 to 19, with moderate to severe TBI admitted to a rehabilitation unit had an SPGR MRI sequence obtained 3 months after TBI. Acquired images were analyzed for location, number, and s ize of lesions. The Glasgow coma scale (GCS) was the clinical indicator of severity. The deepest lesion present was used for depth of lesion classific ation. Speed of injury was inferred from the type of injury. The disability rating scale at the time of discharge from the rehabilitation unit (DRS1) and at 1 year follow up (DRS2) were functional outcome measures. Results-The depth of lesion classification was significantly correlated wit h GCS Severity, number of lesions, and both functional measures, DRS1 and D RS2. This result was more robust for time 1, probably due to the greater nu mber of psychosocial factors impacting on functioning at time 2. Lesion vol ume was not correlated with the depth of lesion model. In multivariate mode ls, depth of lesion was most predictive of DRS1, whereas GCS was most predi ctive of DRS2. Conclusions-A depth of lesion classification of TBI severity may have clini cal utility in predicting functional outcome in children and adolescents wi th moderate to severe TBI.